A5041989342- Multi-Criteria Decision Making
- Neural Networks and Applications
- Statistical Mechanics and Entropy
- Fuzzy Logic and Control Systems
- Fuzzy and Soft Set Theory
- Fuzzy Systems and Optimization
- Rough Sets and Fuzzy Logic
- Advanced Statistical Methods and Models
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Forecasting Techniques and Applications
- Optimization and Mathematical Programming
- Algorithms and Data Compression
- Statistics Education and Methodologies
- Economic theories and models
- Face and Expression Recognition
- Statistical and numerical algorithms
- Advanced Algebra and Logic
- Control Systems and Identification
- Plant Pathogens and Fungal Diseases
- Coding theory and cryptography
- Statistical Methods and Inference
- Mathematical Inequalities and Applications
- Evolutionary Algorithms and Applications
- Computability, Logic, AI Algorithms
Chaudhary Charan Singh Haryana Agricultural University
1980-2021
Kurukshetra University
2021
Guru Jambheshwar University of Science and Technology
2017-2020
Jaypee University of Engineering and Technology
2008-2018
University of Jammu
2013
Interval-valued intuitionistic fuzzy set (IVIFS) has developed to cope with the uncertainty of imprecise human thinking. In present communication, new entropy and similarity measures for IVIFSs based on exponential function are presented compared existing measures. Numerical results reveal that proposed information attain higher association measures, which demonstrate their efficiency reliability. To deal interactive characteristics among elements in a set, Shapley weighted measure is...
In present communication, based on the axiomatic definition of distance measure some new formulae fuzzy measures are proposed and cited. Fuzzy information induced by these defined. Further, characterization σ - defined sets as a metric is studied finally, obtained listed.
In the present communication, logarithmic fuzzy information measures are discussed and studied their validity. The relations among various established. Further, based on measures, discrimination proposed properties of measures. Finally, efficiency measure in real life problems pattern recognition medical diagnosis is illustrated numerically.
In the present communication, two exponential fuzzy information measures are introduced and characterized axiomatically.To show effectiveness of proposed measure, it is compared with existing measures.Two discrimination symmetric defined their validity checked.Important properties new studied.Their applications in pattern recognition diagnosis problem crop disease discussed.
In the literature of information theory and fuzzy set doctrine, there exist various prominent measures divergence; each possesses its own merits, demerits, disciplines applications. Divergence measure is a tool to compute discrimination between two objects. Particularly, idea divergence for sets significant since it has applications in several areas viz., process control, decision making, image segmentation, pattern recognition. this paper, some new measures, which are generalizations...
For finding coherent and logical solution to various real life problems containing uncertainty, impreciseness vagueness, fuzzy soft set theory is gaining importance. Later on a theoretical study of the intuitionistic was developed. The combination are more useful for application point view in field wherever uncertainty due vagueness appear complex form. In present communication concepts Intuitionistic Setare defined as hybridization theory. A new method studied Medical Diagnosis following...
Soya beans are an important cash-crop, grown worldwide because of their use as a raw material in various industries involved the production sauces, mayonnaises, chocolates, baby-food, bakery, etc. bean products not only consumed by humans, but pets too.They also used alternative to fossil fuel form bio-diesel.The research work presented this paper highlights problems associated with soya cultivation, and reasons for yield loss developing countries like India, China others.In paper, colour...
In present communication, a generalized fuzzy mean code word length of degree β has been defined and its bounds in the term information measure have studied. Further we type (α,β) also Monotonic behavior these lengths illustrated graphically by taking some empirical data.
In the present paper, a new concept of ‘useful’ fuzzy information, based on utility, is introduced by considering uncertainties fuzziness and probabilities random events. A measure integrated ambiguity obtained integration probabilistic with utility. fuzzy-directed divergence set from another proposed its validity proved. Finally, constrained optimisation entropy studied.
In the present communication, a new 'useful' R-norm information measure has been defined and characterized axiomatically.Its particular cases have discussed.Properties of also studied.
In the present communication generalized mean value characterization of 'useful' information and relativeinformation measures has been studied. Some comparison theorems related to these have also proved.